Software-defined storage for enterprises
A guide to utilizing Ceph for your enterprise cloud storage needs
The demand for cloud data storage in all organizations is growing, in this whitepaper you can learn how the open-source software-defined storage system, Ceph, can fit into the landscape of enterprise storage deployments, and help you keep pace with the demands on your storage infrastructure.
What is software-defined storage?
A software-defined storage (SDS) system is a type of storage solution that abstracts away the hardware used to build the system, unlike traditional appliances that are tied to the underlying hardware supplied by the vendor. This means that a user of SDS can use commodity off-the-shelf hardware to build their storage system and still meet their performance and economic objectives.
Ceph is the leading open-source software-defined storage system in the market and can be used to provide storage to bare-metal servers, OpenStack and Kubernetes infrastructure, and even direct to applications via S3 and Swift APIs.
How to use open-source Ceph for cloud storage in your IT landscape?
It is estimated that over 2,500PB of data is created every day and it will only continue to accelerate. All organizations need to be prepared to scale their storage infrastructure seamlessly and effortlessly, even within constrained budgets.
In this whitepaper, we will review challenges faced by enterprises operating legacy appliance-based storage systems today, and how they can augment and eventually replace proprietary technologies with scale-out open-source Ceph. A single Ceph cluster can address all protocol needs (block, file, and object) as well as provide robust disaster recovery and business continuity features.
By downloading this whitepaper you will gain insight into:
- The challenges businesses face scaling their storage within budget
- How open-source software-defined storage provides a viable alternative to legacy appliance-based storage systems
- How to use Ceph to future proof for:
- Reliability
- Scalability
- Flexibility
- How to scale for growth, but maintain cost efficiency
- How to reduce data silos with consolidation into a single multi-protocol storage cluster
- How to prepare for disaster situations with local and remote data replication
- How managed services can provide an “as-a-service experience” while reducing cost
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